Pengaruh outlier pada spesifikasi model data berkala

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iers are commonplace in data analysis. Time series analysis is no exception.

une series data are often subject to uncontrolled or unexpected intervention, from
ich various type of outlying observations are produced. Outliers in time series
.'del:lCDding on their nature, may have a moderat to significant effect on the
ectiveness of the standard time series methodology. Two special cases are studied
this article, they are Innovative Outlier (l0) and Additive Outlier (AO). An
ive procedure is proposed to identify the outlier to remove their effect and to
ify a tentative model for underlying process, as is described by Chang and Tiao

983). The concept of this procedure is applied to the data of volume rate of The
ikapundung River at Pos Ouga Gandok .

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Series Title

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Call Number

519.5 Abi p/R.14.9

Publisher

Bandung : Magister Statistika Terapan,., 2010

Collation

vii,;31 hlm,;29 ,3 cm

Language

Indonesia

ISBN/ISSN

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Classification

519.5

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Edition

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Subject(s)

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